Adaptive Dynamic Programming-Based Cooperative Motion/Force Control for Modular Reconfigurable Manipulators: A Joint Task Assignment Approach-Reference-Cited by-同舟云学术

Adaptive Dynamic Programming-Based Cooperative Motion/Force Control for Modular Reconfigurable Manipulators: A Joint Task Assignment Approach

Published:2022 Issue: Volume: Page:1-11
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhao Bo¹^ORCID,Zhang Yongwei²^ORCID,Liu Derong³^ORCID

Affiliation:

1. School of Systems Science, Beijing Normal University, Beijing 100875, China, and also with the Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

2. School of Automation, Guangdong University of Technology, Guangzhou 510006, China.

3. School of Automation, Guangdong University of Technology, Guangzhou 510006, China, and also with the Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL 60607 USA

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Beijing Normal University Tang Scholar

Open Research Project of the State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences

Open Research Project of the State Key Laboratory of Industrial Control Technology Zhejiang University

Open Research Project of the Key Laboratory of Industrial Internet of Things and Networked Control Ministry of Education

Guangdong Introducing Innovative and Enterpreneurial Teams of The Pearl River Talent Recruitment Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09772738.pdf?arnumber=9772738

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